Diagnostics最新文献

{"title":"Application of Liquid Chromatography/Tandem Mass Spectrometry for Quantitative Analysis of Plasmalogens in Preadolescent Children-The Hokkaido Study.","authors":"Yifan Chen, Siddabasave Gowda B Gowda, Divyavani Gowda, Jayashankar Jayaprakash, Lipsa Rani Nath, Atusko Ikeda, Yu Ait Bamai, Rahel Mesfin Ketema, Reiko Kishi, Hitoshi Chiba, Shu-Ping Hui","doi":"10.3390/diagnostics15060743","DOIUrl":"10.3390/diagnostics15060743","url":null,"abstract":"<p><p><b>Background</b>: Plasmalogens (Pls) are phospholipids with a unique structure, abundant in the brain and heart. Due to their chemical instability and analytical difficulties, less information is available compared to other phospholipids. The importance of Pls in several cellular processes is known, one of which is their protective effect against oxidative damage. The physiological role of Pls in human development has not been elucidated. Despite their clinical importance, the quantitative analysis of Pls in children's plasma has been limited. <b>Methods</b>: This study aims to determine the plasma levels of Pls in prepubertal children using liquid chromatography/tandem mass spectrometry (LC-MS/MS). The plasma samples used were obtained from 9- to 12-year-old girls (n = 156) and boys (n = 178), n = 334 in total, who participated in the Hokkaido study. <b>Results</b>: Ethanolamine plasmalogen (PlsEtn) and choline plasmalogen (PlsCho), both carrying eicosapentaenoic acid, were significantly lower in girls than in boys. In both sexes, the plasmalogen levels for the 12-year-old children were lower than those for the 9-year-old children. PlsCho (16:0/18:2) was lower in the overweight children than in the normal-weight children for both sexes. PlsEtn (18:0/20:4) was the most abundant ethanolamine-type plasmalogen in both sexes. <b>Conclusions</b>: This study is the first report on plasmalogen levels and molecular types in children's plasma. This study provides the information needed to understand the role of Pls in human developmental processes and may open up new opportunities in the future to control age-related changes in Pls.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941332/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inflammatory Markers and Postoperative New-Onset Atrial Fibrillation: Prognostic Predictions of Neutrophil Percent to Albumin Ratio in Patients with CABG.","authors":"Faruk Serhatlioglu, Yucel Yilmaz, Oguzhan Baran, Halis Yilmaz, Saban Kelesoglu","doi":"10.3390/diagnostics15060741","DOIUrl":"10.3390/diagnostics15060741","url":null,"abstract":"<p><p><b>Background/Objectives:</b> Postoperative new-onset atrial fibrillation (AF) (PNOAF) is the most common complication after coronary artery bypass graft (CABG), and its incidence has been reported as up to 50% in studies. In this study, we investigated whether there was a relationship between PNOAF and the neutrophil percentage to albumin ratio (NPAR) levels after on-pump CABG. <b>Methods:</b> A total of 454 patients who underwent CABG were included in the study. NPAR was calculated by dividing the neutrophil count by the albumin value. <b>Results:</b> It was determined that 93 patients developed PNOAF (20.4%). When the patient groups that developed and did not develop PNOAF were compared in terms of laboratory findings, C-reactive protein (CRP) values (4.0 mg/L (2.8-7.9) vs. 2.9 mg/L (1.1-6.7), <0.001), neutrophil/lymphocyte ratio (NLR) (2.2 (1.2-4.2) vs. 1.4 (0.7-3.1), <0.001), platelets-to-lymphocyte ratio (112 (72-177) vs. 92 (69-122), <0.001) and NPAR (2.29 (1.68-3.8) vs. 1.09 (0.79-1.81), <0.001), were found to be statistically significantly higher in the group that developed PNOAF. ROC analysis showed that the cut-off value for NPAR for the development of PNOAF was 1.86 with 78% sensitivity and 72% specificity (area under the ROC curve = 0.778, 95% CI (0.728-0.828), <i>p</i> < 0.001). <b>Conclusions:</b> NPAR, which can be detected by a simple venous blood test, has shown a strong predictive value for PNOAF in patients with CABG.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review: State of the Science on Diagnostics of Hidden Hearing Loss.","authors":"Sunil Shenoy, Khushi Bhatt, Yalda Yazdani, Helia Rahimian, Hamid R Djalilian, Mehdi Abouzari","doi":"10.3390/diagnostics15060742","DOIUrl":"10.3390/diagnostics15060742","url":null,"abstract":"<p><p><b>Background/Objectives</b>: A sizeable population of patients with normal pure-tone audiograms endorse a consistent difficulty of following conversations in noisy environments. Termed hidden hearing loss (HHL), this condition evades traditional diagnostic methods for hearing loss and thus is significantly under-diagnosed and untreated. This review sought to identify emerging methods of diagnosing HHL via measurement of its histopathologic correlate: cochlear synaptopathy, the loss of synapses in the auditory nerve pathway. <b>Methods</b>: A thorough literature search of multiple databases was conducted to identify studies with objective, electrophysiological measures of synaptopathy. The PRISMA protocol was employed to establish criteria for the selection of relevant literature. <b>Results</b>: A total of 21 studies were selected with diagnostic methods, including the auditory brainstem response (ABR), electrocochleography (EcochG), middle ear muscle reflex (MEMR), and frequency-following response (FFR). Measures that may indicate the presence of synaptopathy include a reduced wave I amplitude of ABR, reduced SP amplitude of EcochG, and abnormal MEMR, among other measurements. Behavioral measures were often performed alongside electrophysiological measures, the most common of which was the speech-in-noise assessment. <b>Conclusions</b>: ABR was the most common diagnostic method for assessing HHL. Though ABR, EcochG, and MEMR may be sensitive to measuring synaptopathy, more literature comparing these methods is necessary. A two-pronged approach combining behavioral and electrophysiological measures may prove useful as a criterion for diagnosing and estimating the extent of pathology in affected patients.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940875/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Radiation Dose in High-Resolution Chest CT: The Impact of Patient-Specific Factors and Size-Specific Dose Estimates.","authors":"Mohamed Abuzaid","doi":"10.3390/diagnostics15060740","DOIUrl":"10.3390/diagnostics15060740","url":null,"abstract":"<p><p><b>Background/Objectives:</b> High-resolution chest computed tomography (HRCT) is a critical diagnostic tool, but radiation dose optimization remains a significant concern. Traditional dose metrics such as the volume CT dose index (CTDIvol) and dose-length product (DLP) do not adequately account for patient size variations. This study aimed to assess the radiation dose in HRCT using size-specific dose estimates (SSDEs) and evaluate the influence of patient-specific factors on key dosimetric parameters. <b>Methods</b>: This retrospective cohort study analyzed HRCT scans from 1970 adult patients conducted between September 2022 and February 2024. Radiation dose data, including the CTDIvol, DLP, SSDE, and effective dose, were extracted from the DoseWatch™ software. Patient demographics, scan protocols, and exposure parameters were collected. Descriptive statistics, correlation analyses, and significance testing were conducted using IBM SPSS (Version 26). <b>Results</b>: A significant positive correlation was found between the radiation dose parameters (CTDIvol, DLP, SSDE) and patient body size metrics, particularly BMI (rpb = 0.445, <i>p</i> < 0.01). The SSDE values ranged from 2.7 to 12.4 mGy, providing a more patient-specific dose assessment than traditional indices. Gender differences were observed, with male patients receiving higher radiation doses (<i>p</i> < 0.01). The scanning range exhibited a significant negative correlation with the CTDIvol and SSDE, suggesting dose variations with anatomical coverage. <b>Conclusions</b>: SSDEs provide a more accurate, patient-centered dose assessment in HRCT, allowing for optimized radiation safety strategies. These findings emphasize the need for size-adapted scan protocols to minimize exposure while maintaining diagnostic image quality. The routine integration of SSDE into clinical practice is recommended to enhance individualized dose management in HRCT.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941391/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Retrospective Study Regarding the Efficacy of Nuvola^® OP Clear Aligners in Maxillary Arch Expansion in Adult Patients.","authors":"Sorana Maria Bucur, Radu Andrei Moga, Cristian Doru Olteanu, Eugen Silviu Bud, Alexandru Vlasa","doi":"10.3390/diagnostics15060738","DOIUrl":"10.3390/diagnostics15060738","url":null,"abstract":"<p><p><b>Background/Objectives:</b> The study evaluated the effectiveness of Nuvola^® OP aligners, combined with an interceptive myofunctional device, in achieving dental arch expansions over an 18-26-month treatment period. <b>Methods:</b> 54 patients (31 women and 23 men, aged between 18 and 48 years old) participated in the study. The inclusion criteria for the present research were optimal oral hygiene, no prior orthodontic treatments, and no systemic conditions affecting outcomes of the treatment. Linear measurements (D1, D2, D3, D4) were obtained from STL files of the dental arches before and after treatment using Carestream CSMODEL™ software 3.10.47. Statistical analysis included MANOVA, Pearson's correlation, and paired <i>t</i>-tests, following the Shapiro-Wilk test for data normality. <b>Results:</b> The treatment duration averaged 22.4 months. D1-D4 measurements means increased by 2.1 mm for D1, 2.37 mm for D2, 1.0 mm for D3, and 3.67 mm for D4. MANOVA results (<i>p</i> = 0.063) confirmed similar effects on all parameters, while Pearson's correlation showed a weak positive association among distance changes. <b>Conclusions:</b> Nuvola^® OP aligners, used with an interceptive myofunctional device, effectively improved arch parameters. The significant increases in D1-D4 mean values suggest that this approach might be beneficial for controlled dental arch expansion in adult patients.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941744/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in Relation to Accurate Information and Tasks in Gynecologic Oncology and Clinical Medicine-Dunning-Kruger Effects and Ultracrepidarianism.","authors":"Edward J Pavlik, Jamie Land Woodward, Frank Lawton, Allison L Swiecki-Sikora, Dharani D Ramaiah, Taylor A Rives","doi":"10.3390/diagnostics15060735","DOIUrl":"10.3390/diagnostics15060735","url":null,"abstract":"<p><p>Publications on the application of artificial intelligence (AI) to many situations, including those in clinical medicine, created in 2023-2024 are reviewed here. Because of the short time frame covered, here, it is not possible to conduct exhaustive analysis as would be the case in meta-analyses or systematic reviews. Consequently, this literature review presents an examination of narrative AI's application in relation to contemporary topics related to clinical medicine. The landscape of the findings reviewed here span 254 papers published in 2024 topically reporting on AI in medicine, of which 83 articles are considered in the present review because they contain evidence-based findings. In particular, the types of cases considered deal with AI accuracy in initial differential diagnoses, cancer treatment recommendations, board-style exams, and performance in various clinical tasks, including clinical imaging. Importantly, summaries of the validation techniques used to evaluate AI findings are presented. This review focuses on AIs that have a clinical relevancy evidenced by application and evaluation in clinical publications. This relevancy speaks to both what has been promised and what has been delivered by various AI systems. Readers will be able to understand when generative AI may be expressing views without having the necessary information (ultracrepidarianism) or is responding as if the generative AI had expert knowledge when it does not. A lack of awareness that AIs may deliver inadequate or confabulated information can result in incorrect medical decisions and inappropriate clinical applications (Dunning-Kruger effect). As a result, in certain cases, a generative AI system might underperform and provide results which greatly overestimate any medical or clinical validity.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Prognostic Role of Serum Procalcitonin for Adult Patients with Acute Diarrhea in the Emergency Department.","authors":"Antonella Gallo, Marcello Covino, Eleonora Ianua', Andrea Piccioni, Davide Della Polla, Benedetta Simeoni, Francesco Franceschi, Francesco Landi, Massimo Montalto","doi":"10.3390/diagnostics15060734","DOIUrl":"10.3390/diagnostics15060734","url":null,"abstract":"<p><p><b>Background.</b> Acute diarrhea is one of the leading causes of Emergency Department (ED) access. The search for the causative pathogen cannot be routinely performed since conventional methods, like stool cultures, are time-consuming, requiring days for growth and delaying diagnosis and the start of therapy. In this large sample retrospective study, we evaluated the prognostic role of serum procalcitonin (PCT) for adult patients with acute diarrhea in the ED. <b>Methods.</b> In a retrospective, mono-centric study, we enrolled all patients visiting our ED complaining of acute diarrhea and then hospitalized over five years. Final diagnosis of an infective (including bacterial) diarrhea, any other infection, and a bloodstream infection (BSI) was collected by clinical records, according to the International Disease Classification 10th edition. Procalcitonin determination was obtained upon request of the ED physician at the admission visit based on patient evaluation and clinical judgment. <b>Results.</b> Of a total of 1910 patients, early PCT values (cut-off of 0.5 ng/mL) did not show a significant predictive value for infective diarrhea (OR 0.554 [0.395-0.778]), nor for bacterial diarrhea (OR 0.596 [0.405-0.875]). Conversely, PCT levels at ED admission showed a significant predictive value for a final diagnosis of any infection (OR 1.793 [1.362-2.362]) and, above all, of bloodstream infection (BSI) (OR 6.694 [4.869-9.202]). <b>Conclusions.</b> Our data suggest that in ED, where the complexity and heterogeneity of patients are very high, indiscriminate PCT-guided management of patients with diarrhea is not indicated. Conversely, in patients with diarrhea but also clinical suspicion of BSI, PCT determination remains a useful instrument, possibly improving clinical management.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941191/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing Diabetic Retinopathy Screening: A Systematic Review of Artificial Intelligence and Optical Coherence Tomography Angiography Innovations.","authors":"Alireza Hayati, Mohammad Reza Abdol Homayuni, Reza Sadeghi, Hassan Asadigandomani, Mohammad Dashtkoohi, Sajad Eslami, Mohammad Soleimani","doi":"10.3390/diagnostics15060737","DOIUrl":"10.3390/diagnostics15060737","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Diabetic retinopathy (DR) remains a leading cause of preventable blindness, with its global prevalence projected to rise sharply as diabetes incidence increases. Early detection and timely management are critical to reducing DR-related vision loss. Optical Coherence Tomography Angiography (OCTA) now enables non-invasive, layer-specific visualization of the retinal vasculature, facilitating more precise identification of early microvascular changes. Concurrently, advancements in artificial intelligence (AI), particularly deep learning (DL) architectures such as convolutional neural networks (CNNs), attention-based models, and Vision Transformers (ViTs), have revolutionized image analysis. These AI-driven tools substantially enhance the sensitivity, specificity, and interpretability of DR screening. <b>Methods</b>: A systematic review of PubMed, Scopus, WOS, and Embase databases, including quality assessment of published studies, investigating the result of different AI algorithms with OCTA parameters in DR patients was conducted. The variables of interest comprised training databases, type of image, imaging modality, number of images, outcomes, algorithm/model used, and performance metrics. <b>Results</b>: A total of 32 studies were included in this systematic review. In comparison to conventional ML techniques, our results indicated that DL algorithms significantly improve the accuracy, sensitivity, and specificity of DR screening. Multi-branch CNNs, ensemble architectures, and ViTs were among the sophisticated models with remarkable performance metrics. Several studies reported that accuracy and area under the curve (AUC) values were higher than 99%. <b>Conclusions</b>: This systematic review underscores the transformative potential of integrating advanced DL and machine learning (ML) algorithms with OCTA imaging for DR screening. By synthesizing evidence from 32 studies, we highlight the unique capabilities of AI-OCTA systems in improving diagnostic accuracy, enabling early detection, and streamlining clinical workflows. These advancements promise to enhance patient management by facilitating timely interventions and reducing the burden of DR-related vision loss. Furthermore, this review provides critical recommendations for clinical practice, emphasizing the need for robust validation, ethical considerations, and equitable implementation to ensure the widespread adoption of AI-OCTA technologies. Future research should focus on multicenter studies, multimodal integration, and real-world validation to maximize the clinical impact of these innovative tools.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941001/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diabetic Foot Ulcers Detection Model Using a Hybrid Convolutional Neural Networks-Vision Transformers.","authors":"Abdul Rahaman Wahab Sait, Ramprasad Nagaraj","doi":"10.3390/diagnostics15060736","DOIUrl":"10.3390/diagnostics15060736","url":null,"abstract":"<p><p><b>Background:</b> Diabetic foot ulcers (DFUs) are severe and common complications of diabetes. Early and accurate DFUs classification is essential for effective treatment and prevention of severe complications. The existing DFUs classification methods have certain limitations, including limited performance, poor generalization, and lack of interpretability, restricting their use in clinical settings. <b>Objectives:</b> To overcome these limitations, this study proposes an innovative model to achieve robust and interpretable DFUs classification. <b>Methodology:</b> The proposed DFUs classification integrates MobileNet V3-SWIN, LeViT-Peformer, Tensor-based feature fusion, and ensemble splines-based Kolmogorov-Arnold Networks (KANs) with Shapley Additive exPlanations (SHAP) values to classify DFUs severities into ischemia and infection classes. In order to train and generalize the proposed model, the authors utilized the DFUs challenge (DFUC) 2021 and 2020 datasets. <b>Findings:</b> The proposed model achieved state-of-the-art performance, outperforming the existing approaches by obtaining an average accuracy of 98.7%, precision of 97.3%, recall of 97.4%, and F1-score of 97.3% on DFUC 2021. On DFUC 2020, it maintained a robust generalization accuracy of 96.9%, demonstrating superiority over standalone and baseline models. The study findings have significant implications for research and clinical practice. The findings offer an effective platform for scalable and explainable automated DFUs treatment and management, improving patient outcomes and clinical practices.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Second Residual Tooth Occurring from One Tooth.","authors":"Tatsuya Akitomo, Mariko Kametani, Yuko Iwamoto, Chieko Mitsuhata, Ryota Nomura","doi":"10.3390/diagnostics15060733","DOIUrl":"10.3390/diagnostics15060733","url":null,"abstract":"<p><p>In clinical pediatric dentistry, dental professionals may encounter some dental abnormalities. It may progress in various ways; therefore, long-term follow-up is essential. We describe the case of a 5-month-old male, and how the mandibular incisor was lost due to trauma. He was referred to our hospital two days later, but the calcified tissue was detected in the oral cavity, confirming the residual tooth. We extracted the tooth, and a regular dental checkup revealed another residual tooth in the same region one year later. A residual tooth is considered to be affected by the Hertwig's epithelial sheath, and it may occur when the root is immature. It is important for dental professionals to share this information and to continue long-term follow-up when they encounter patients at young ages who have had such teeth extracted or lost due to trauma.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941098/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}